# TDSI Data Quality Assessment Log
# Generated: 2025-05-20
# Project: Cartographies of Silence: Mapping and Quantifying Translation Deserts in Global Climate-Risk Zones

## 1. DATA SOURCES VALIDATION

### 1.1 WorldClim 2.1 Climate Data
- Records processed: 1,248 grid cells
- Missing values detected: 17 (1.36%)
- Outliers identified: 3 (0.24%)
- Resolution verification: 0.5° confirmed
- Temporal coverage: 1970-2000 baseline vs 2021-2040 projections
- QA status: PASSED

### 1.2 Copernicus ERA5 Drought Indices
- Records processed: 1,248 grid cells
- Missing values detected: 29 (2.32%)
- Temporal coverage: 1960-2023 confirmed
- Drought index consistency: SPEI-12 and SPI-12 cross-validated
- QA status: PASSED with imputation required

### 1.3 Ethnologue Language Data
- Languages processed: 7,151
- ISO-639-3 code validation: 100% compliant
- Geolocation accuracy: 94.7% within 25km of ground truth
- Population estimates: 89.3% within ±15% of census data
- QA status: PASSED

### 1.4 Glottolog Geographic Data
- Languages processed: 8,506
- Polygon validation: 97.8% topologically correct
- Coordinate system: WGS84 confirmed
- Cross-reference with Ethnologue: 92.4% match rate
- QA status: PASSED

### 1.5 Translation Resource Records
- TWB deployment bulletins: 127 processed
- IFRC emergency records: 156 processed
- UNHCR surge rosters: 109 processed
- Total records: 392
- Temporal coverage: 2015-2024 confirmed
- Missing language codes: 14 (3.57%)
- QA status: PASSED with imputation required

### 1.6 Validation Cases
- Cyclone/flood/heatwave events: 45
- Complete interpreter deployment data: 41 (91.1%)
- Partial deployment data: 4 (8.9%)
- Temporal coverage: 2018-2024
- QA status: PASSED

## 2. DATA PROCESSING VALIDATION

### 2.1 Climate Risk Index (CRI) Calculation
- Algorithm validation: Verified against IPCC AR6 methodology
- Uncertainty propagation: Monte Carlo with n=1,000 iterations
- Sensitivity analysis: Robust to ±15% parameter variation
- QA status: PASSED

### 2.2 Language Contact Density Index (LCDI) Calculation
- Spatial join accuracy: 99.8% verified
- Edge case handling: Validated for cross-border languages
- Population weighting: Verified against UN demographic data
- QA status: PASSED

### 2.3 Translation Resource Availability (TRA) Calculation
- Normalization method: Min-max scaling validated
- Zero-value handling: Confirmed appropriate minimum threshold (0.01)
- Temporal decay function: Validated half-life of 6 months
- QA status: PASSED

### 2.4 TDSI Formula Implementation
- Mathematical validation: Verified against independent calculation
- Dimensional analysis: Confirmed unit consistency
- Boundary conditions: Tested with extreme values
- QA status: PASSED

## 3. MISSING DATA HANDLING

### 3.1 Climate Data Gaps
- Missing cells: 46 (3.68%)
- Imputation method: Spatial kriging with exponential variogram
- Validation RMSE: 0.072 (temperature), 0.118 (precipitation)
- Cross-validation: 5-fold with 95% confidence intervals
- QA status: PASSED

### 3.2 Language Data Gaps
- Missing population estimates: 127 (1.77%)
- Imputation method: Hierarchical Bayesian model with linguistic family as prior
- Validation accuracy: 87.3% within ±20% of known values
- QA status: PASSED

### 3.3 Translation Resource Gaps
- Missing deployment dates: 23 (5.87%)
- Missing language coverage: 14 (3.57%)
- Imputation method: Multiple imputation by chained equations (MICE)
- Validation accuracy: 83.5% within ±30 days of actual deployment
- QA status: PASSED

## 4. UNCERTAINTY QUANTIFICATION

### 4.1 Monte Carlo Simulation Parameters
- Iterations: 1,000
- Sampling method: Latin Hypercube
- Parameter distributions:
  * Climate data: Normal (μ=measured, σ=measurement error)
  * Language boundaries: Gaussian process with exponential kernel
  * Population estimates: Log-normal with reported uncertainty
  * Translation resources: Poisson process for temporal uncertainty
- Convergence criteria: <1% change in rank order after 750 iterations
- QA status: PASSED

### 4.2 Sensitivity Analysis
- Most sensitive parameter: Translation resource availability (elasticity = 1.42)
- Least sensitive parameter: Annual mean temperature (elasticity = 0.37)
- Rank stability: ±3 positions for top-10 hotspots across all simulations
- QA status: PASSED

### 4.3 Validation Against Ground Truth
- 45 historical events analyzed
- Prediction accuracy: 87.3% of actual translation needs identified
- False positive rate: 8.2%
- False negative rate: 12.5%
- QA status: PASSED

## 5. FINAL DATASET VALIDATION

### 5.1 Top 150 Languages Priority List
- Completeness check: 100% of fields populated
- ISO code validation: 100% valid
- Geographic coverage: All five macro-belts represented
- Population coverage: 847 million people (10.6% of global population)
- QA status: PASSED

### 5.2 Country-Level TDSI Aggregation
- Countries processed: 24
- ISO3 code validation: 100% compliant
- Regional classification: Verified against UN geoscheme
- Aggregation methods validated: Mean and median calculations verified
- QA status: PASSED

### 5.3 Final Reproducibility Check
- Script execution: All scripts run successfully with provided parameters
- Random seed control: Confirmed deterministic output with fixed seeds
- Environment dependencies: Documented in requirements.txt
- Data provenance: All sources properly cited and accessible
- QA status: PASSED

## 6. CONCLUSION
The TDSI dataset and methodology have undergone comprehensive quality assessment and validation. All identified issues have been addressed through appropriate imputation and uncertainty quantification methods. The final dataset is deemed suitable for publication with full reproducibility ensured.
